An insight into our clinical research activities
Our dedicated and experienced research team is continuously pushing our research efforts in order to hold the high level of expertise needed for our products.
We are continuously investigating novel methods for the assessment, prediction and monitoring of bone diseases and present our results at numerous prestigious conferences and congresses all over the world.
Abstracts, White Papers, …
Bone microarchitecture analysis: The missing information in the subchondral bone
ImageBiopsy Lab’s bone microarchitecture (BMA) analysis yields information on the structure of the bone in distinct regions of interest.
Innovation, tested and proved: Reproducibility and standardization
The patented knee positioner “JAMES” ensures optimal and reproducible perspectives for acquisition.
Together with its high-resolution QCT substudy, this study provides good evidence that fractal based analysis of conventional radiographs gives us information on structural properties of trabecular bone. Furthermore, this method provides information on treatment-related changes in bone beyond that measured by bone mineral density alone”.
Univ.-Prof. Dr. med. univ. Hans Peter Dimai
Automated Knee Osteoarthritis Assessment Increases Physicians’ Agreement Rate and Accuracy: Data From the Osteoarthritis Initiative
A novel quantitative metric for joint space width: data from the Osteoarthritis Initiative (OAI).
Supported by IBLAB’s fully automated computer detection system: KOALA – Knee Osteoarthritis Labeling Assistant
List of abstracts presented at ICRS in Vancouver 2019
AUTOMATED KNEE OSTEOARTHRITIS ASSESSMENT INCREASES PHYSICIANS’ AGREEMENT RATE AND ACCURACY: DATA FROM THE OSTEOARTHRITIS INITIATIVE
MACHINE LEARNING PREDICTS RATE OF CARTILAGE LOSS: DATA FROM THE OSTEOARTHRITIS INITIATIVE
A NOVEL QUANTITATIVE METRIC FOR JOINT SPACE WIDTH: DATA FROM THE OSTEOARTHRITIS INITIATIVE (OAI)
PREDICTING JOINT NARROWING RISK FROM A NOVEL JOINT SPACE WIDTH MEASURE: DATA FROM THE OSTEOARTHRITIS INITIATIVE
DETECTING BONE MARROW EDEMAS FROM PLAIN RADIOGRAPHS USING DEEP LEARNING Data from the Osteoarthritis Initiative
Nominated for best poster award at DKOU 2019